高雄軟體園區-監控系統整合工程師

1. 負責系統平台之 UI/UX 設計 

2. 規劃監控平台之操作流程、資訊架構與使用者體驗 

3. 製作 Wireframe、Mockup 與 Prototype，並與工程團隊協作落地實作 

4. 理解設備資料 (如溫度、流量、告警等)，轉化為直覺化視覺呈現 

5. 協助建構機房或設備之 3D 視覺化呈現 (如空間配置、設備定位) 

6. 製作產品介紹影片、操作教學或訓練素材

1. 測試軟體與網頁平台開發 

2. 伺服器/存儲器測試及功能開發 

3. 軟體部屬測試環境管理規劃

我們正在招募雲平台 Site Reliability Engineer（SRE），負責私有雲平台（OpenStack + Ceph）的穩定性、可用性與可擴展性。 

此角色將深度參與雲平台的設計、維運、自動化與事件管理，透過工程方法提升系統可靠度，而非單純人工作業。 

核心職責（Responsibilities） 

1.負責 OpenStack 雲平台 的穩定性與可用性維運 與 Ceph 分散式儲存 的健康度、效能與容量管理 

2.建立與維護： 

監控（Monitoring） 

告警（Alerting） 

事件回應流程（Incident Response） 

3.進行： 

故障排查（Troubleshooting） 

根因分析（RCA） 

問題事後改善（Postmortem） 

4.透過 Shell / Python 進行自動化，降低人工操作風險 

5.與平台開發、網路、硬體團隊協作，改善整體系統可靠度

我們正在尋找具備雲平台實務經驗的 FAE 工程師，主要負責 OpenStack + Ceph 私有雲平台的客戶技術支援、問題排查與架構說明。 

此職位需能在客戶現場或遠端協助平台部署、維運與障礙處理，並能透過腳本與簡易開發提升支援效率與平台穩定性。 

1. 雲平台 / 儲存基礎 

a. 具備 OpenStack 實務經驗（至少操作或維運過） 

i. 熟悉常見元件：Nova、Neutron、Cinder、Keystone（不要求全精通） 

ii. 了解基本架構與節點角色（Controller / Compute / Storage） 

b. 具備 Ceph 使用或運維經驗 

i. 熟悉 RBD，了解 OSD / MON 基本概念 

ii. 能協助判斷常見容量、效能或異常狀況 

2. 系統與支援能力 

a. 熟悉 Linux 系統操作 

i. 日誌查看、服務管理、效能觀察、問題排查 

b. 具備基本網路概念 

i. TCP/IP、VLAN、Bonding（Overlay Network 有概念即可） 

c. 具備客戶支援或跨部門協作經驗 

i. 能清楚說明問題、同步狀態、協助客戶釐清需求 

3. 腳本與自動化 

a. 能撰寫 Shell Script 

i. 用於部署、巡檢、日常維運或問題快速排查 

b. 具備 Python 基礎能力 

i. 能修改或撰寫簡單工具（如 API 呼叫、資料整理） 

c. 熟悉 Git 基本使用

We are seeking a highly motivated Software Engineer, who support the development, integration, and maintenance of the AI-driven software platform used in GPU server manufacturing and diagnostics.  

This role focuses on log processing, service development, model implementation, data analysis, and integration testing.  

The engineer will work closely with team members to implement features that improve failure attribution, test optimization, and automated diagnostics for AI server platforms.  

**Responsibilities  

1. Software System Development Implement backend service modules for the system. Develop log parsing tools, data transformers, LLM, and rule-based diagnostic logic. Write clean, maintainable code (primarily Python) and participate in code reviews.  

2. Log & Data Handling Build and maintain scripts for collecting, cleaning, and indexing diagnostic logs. Manage log storage and retrieving data for model training.  

3. System Integration & Testing Support integration between the platform modules and Diagnostics software, automation frameworks, and factory systems. Help deploy updated components to test environments or production lines.  

4. Issue Investigation Work with senior engineers to analyze failure logs, detect patterns, and refine rule-based logic. Document root causes and support continuous improvement of diagnostics accuracy.  

5. Documentation & Team Collaboration.

1. 熟悉並了解 NVIDIA DGX/HGX/MGX/IGX 等系統架構。 

2. 熟悉並了解 NVIDIA GPU/CPU/DPU/Networking 等相關元件組成。 

3. IT infrastructure setup 

4. 叢集架構建置與效能分析。 

5. 叢集佈線環境設計。

1. Design, deploy and maintain large scale AI/HPC cluster virtualization environment (Slurm, Kubernetes, Kuberay, Ray, Helm, HTCondor, LSF, DLRover, LamaFacotry, etc) 

2. Orchestra and optimize large scale virtualization enivronment for HA and high performance 

3. Security assessment and implementation on the large scale cluster platform 

4. Scaling and automation system development

•監控機房維運設施、資訊設備、網路、IT及雲端服務 

•例行巡檢與事件處理通報 

•受理一線客服包含客戶障礙申告 

•協助IDC機房維運管理 

•管理大樓人員及設備進出，確保進出流程合規與安全 

•其他主管交辦事項. 

•需配合7x24三班制輪班

1.帶領團隊依專案時程進行軟體分析, 設計及撰寫程式 

2.指導開發人員日常技術工作 

3.設計及管理Web端及後台系統開發流程, 及尋找解決方案並提出具體策略與執行方式 

4.管理整個軟體開發專案生命週期和軟體開發品質管理 

5.依據公司策略及發展，推行各項專案及軟體開發 

6.跨部門溝通協調

Job Description: 

We are seeking a skilled and motivated AI/HPC cluster engineer to design, develop, and maintain a virtualized HPC environment and then deploy to the lab environment and the factory. This role is crucial for enabling our team to develop and test AI/HPC tools in a virtualized environment first, and after verification the complete process, to deploy it on the physical infrastructure.  

[Key Responsibilities] 

Virtual Environment: 

- Build and manage a virtual AI/HPC cluster for development and testing. 

- Configure and optimize networking between virtual nodes to emulate real-world HPC environments. 

- Collaborate with teams to ensure the virtual cluster meets testing and performance requirements. 

- Troubleshoot and resolve networking and system-level issues within the virtual environment. 

- Document system configurations, workflows, and best practices for maintaining the virtual cluster. 

Physical Envrionment: 

- realize and impelemnt the validation test cases into the cluster DUTs.

1. Profiling 

2. Performance analysis & optimization (mainly focus on CPU/GPU/Memory) 

3. Network performance analysis & optimization